A Study of Qualitative Knowledge-Based Exploration for Continuous Deep Reinforcement Learning. - Chenxi Li; Lei Cao 007; Xiaoming Liu; Xiliang Chen; Zhixiong Xu; Yongliang Zhang (IEICE Trans. Inf. Syst., 2017)

Reward-Based Exploration: Adaptive Control for Deep Reinforcement Learning. - Zhixiong Xu; Lei Cao 007; Xi-liang Chen; Chenxi Li (IEICE Trans. Inf. Syst., 2018)

Deep Reinforcement Learning with Sarsa and Q-Learning: A Hybrid Approach. - Zhixiong Xu; Lei Cao 007; Xi-liang Chen; Chenxi Li; Yongliang Zhang; Jun Lai (IEICE Trans. Inf. Syst., 2018)

Deep Reinforcement Learning via Past-Success Directed Exploration. - Xiaoming Liu; Zhixiong Xu; Lei Cao 007; Xiliang Chen; Kai Kang (AAAI, 2019)

Learning to Learn: Hierarchical Meta-Critic Networks. - Zhixiong Xu; Lei Cao 007; Xiliang Chen (IEEE Access, 2019)

Meta-Learning via Weighted Gradient Update. - Zhixiong Xu; Lei Cao 007; Xiliang Chen (IEEE Access, 2019)

A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning. - Yu Sun; Jun Lai; Lei Cao 007; Xi-liang Chen; Zhixiong Xu; Yue Xu (IEEE Access, 2020)

Representation Learning of Knowledge Graphs With Entity Attributes. - Zhongwei Zhang; Lei Cao 007; Xiliang Chen; Wei Tang 012; Zhixiong Xu; Yangyang Meng (IEEE Access, 2020)

Deep Reinforcement Learning with Adaptive Update Target Combination. - Z. Xu; Lei Cao 007; Xiliang Chen; Jin-Hee Cho (Comput. J., 2020)

Meta weight learning via model-agnostic meta-learning. - Zhixiong Xu; Xiliang Chen; Wei Tang 012; Jun Lai; Lei Cao 007 (Neurocomputing, 2021)

Fast Task Adaptation Based on the Combination of Model-Based and Gradient-Based Meta Learning. - Zhixiong Xu; Xiliang Chen; Lei Cao 007 (IEEE Trans. Cybern., 2022)

A Friend-or-Foe framework for multi-agent reinforcement learning policy generation in mixing cooperative-competitive scenarios. - Yu Sun; Jun Lai; Lei Cao 007; Xiliang Chen; Zhixiong Xu; Zhen Lian; Huijin Fan (Trans. Inst. Meas. Control, 2022)

Curriculum Reinforcement Learning Based on K-Fold Cross Validation. - Zeyang Lin; Jun Lai; Xiliang Chen; Lei Cao 007; Jun Wang (Entropy, 2022)

Improvement of MADRL Equilibrium Based on Pareto Optimization. - Zhiruo Zhao; Lei Cao 007; Xiliang Chen; Jun Lai; Legui Zhang (Comput. J., 2023)

Character-Based Value Factorization For MADRL. - Liqin Xiong; Lei Cao 007; Xiliang Chen; Jun Lai; Xijian Luo (Comput. J., 2023)

Online Optimization Method of Learning Process for Meta-Learning. - Zhixiong Xu; Wei Zhang; Ailing Li; Feifei Zhao; Yuanyuan Jing; Zheng Wan; Lei Cao 007; Xiliang Chen (Comput. J., 2024)